PyKrige:适用于Python的Kriging工具包-源码
皮格里格
适用于Python的Kriging工具包。
目的
该代码支持2D和3D普通和通用克里金法。 内置了标准变异函数模型（线性，幂，球面，高斯，指数），但也可以使用自定义变异函数模型。 2D通用克里金代码当前支持区域线性，对数对数和外部漂移项，而3D通用克里金代码在所有三个空间维度上都支持区域线性漂移项。 两种通用克里金法也都支持通用的“指定”和“功能”漂移功能。 使用“指定的”漂移功能，用户可以手动指定每个数据点和所有网格点的漂移值。 借助“功能性”漂移功能，用户可以提供定义漂移的空间坐标的可调用函数。 该软件包包括一个模块，该模块包含的功能对于使用ASCII网格文件（ \*.asc ）应该有用。
有关更多详细信息和示例，请参见的文档。
安装
PyKrige需要Python 3.5以上版本以及numpy，scipy。 可以通过以下方式从PyPi安装：
pip install p
文件下载
资源详情
[{"title":"（ 69 个子文件 716KB ） PyKrige:适用于Python的Kriging工具包-源码","children":[{"title":"PyKrige-develop","children":[{"title":"MANIFEST.in <span style='color:#111;'> 173B </span>","children":null,"spread":false},{"title":".coveragerc <span style='color:#111;'> 169B </span>","children":null,"spread":false},{"title":"docs","children":[{"title":"requirements_doc.txt <span style='color:#111;'> 107B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 76B </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 613B </span>","children":null,"spread":false},{"title":"source","children":[{"title":"api.rst <span style='color:#111;'> 539B </span>","children":null,"spread":false},{"title":"conf.py <span style='color:#111;'> 10.31KB </span>","children":null,"spread":false},{"title":"pics","children":[{"title":"PyKrige.ico <span style='color:#111;'> 4.19KB </span>","children":null,"spread":false},{"title":"PyKrige_150.png <span style='color:#111;'> 11.43KB </span>","children":null,"spread":false},{"title":"PyKrige.png <span style='color:#111;'> 56.84KB </span>","children":null,"spread":false}],"spread":true},{"title":"_templates","children":[{"title":"layout.html <span style='color:#111;'> 967B </span>","children":null,"spread":false}],"spread":true},{"title":"sphinxext","children":[{"title":"github_link.py <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false}],"spread":true},{"title":"changelog.rst <span style='color:#111;'> 35B </span>","children":null,"spread":false},{"title":"contents.rst <span style='color:#111;'> 335B </span>","children":null,"spread":false},{"title":"variogram_models.rst <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"index.rst <span style='color:#111;'> 32B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".github","children":[{"title":"workflows","children":[{"title":"main.yml <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"pykrige","children":[{"title":"uk.py <span style='color:#111;'> 56.37KB </span>","children":null,"spread":false},{"title":"uk3d.py <span style='color:#111;'> 47.94KB </span>","children":null,"spread":false},{"title":"core.py <span style='color:#111;'> 29.60KB </span>","children":null,"spread":false},{"title":"ok3d.py <span style='color:#111;'> 38.82KB </span>","children":null,"spread":false},{"title":"variogram_models.py <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"compat.py <span style='color:#111;'> 9.66KB </span>","children":null,"spread":false},{"title":"ok.py <span style='color:#111;'> 41.98KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"rk.py <span style='color:#111;'> 5.84KB </span>","children":null,"spread":false},{"title":"kriging_tools.py <span style='color:#111;'> 8.64KB </span>","children":null,"spread":false},{"title":"lib","children":[{"title":"variogram_models.pyx <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false},{"title":"variogram_models.pxd <span style='color:#111;'> 143B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 49B </span>","children":null,"spread":false},{"title":"cok.pyx <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false}],"spread":false},{"title":"ck.py <span style='color:#111;'> 9.24KB </span>","children":null,"spread":false}],"spread":false},{"title":"tests","children":[{"title":"test_regression_krige.py <span style='color:#111;'> 3.07KB </span>","children":null,"spread":false},{"title":"test_classification_krige.py <span style='color:#111;'> 3.20KB </span>","children":null,"spread":false},{"title":"test_api.py <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"test_data","children":[{"title":"test1_answer.asc <span style='color:#111;'> 195.70KB </span>","children":null,"spread":false},{"title":"test2_settings.txt <span style='color:#111;'> 245B </span>","children":null,"spread":false},{"title":"test3d_data.txt <span style='color:#111;'> 294B </span>","children":null,"spread":false},{"title":"test3_answer.asc <span style='color:#111;'> 323.50KB </span>","children":null,"spread":false},{"title":"test3_settings.txt <span style='color:#111;'> 244B </span>","children":null,"spread":false},{"title":"test2_answer.asc <span style='color:#111;'> 195.70KB </span>","children":null,"spread":false},{"title":"test3_dem.asc <span style='color:#111;'> 1.02MB </span>","children":null,"spread":false},{"title":"test1_settings.txt <span style='color:#111;'> 260B </span>","children":null,"spread":false},{"title":"test3d_answer.txt <span style='color:#111;'> 19.53KB </span>","children":null,"spread":false},{"title":"test_data.txt <span style='color:#111;'> 372B </span>","children":null,"spread":false}],"spread":true},{"title":"test_core.py <span style='color:#111;'> 93.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements_test.txt <span style='color:#111;'> 83B </span>","children":null,"spread":false},{"title":".zenodo.json <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"benchmarks","children":[{"title":"kriging_benchmarks.py <span style='color:#111;'> 3.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements_setup.txt <span style='color:#111;'> 70B </span>","children":null,"spread":false},{"title":"setup.cfg <span style='color:#111;'> 63B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 27B </span>","children":null,"spread":false},{"title":"examples","children":[{"title":"02_kriging3D.py <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false},{"title":"README.txt <span style='color:#111;'> 19B </span>","children":null,"spread":false},{"title":"04_krige_geometric.py <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"10_classification_kriging2d.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"05_kriging_1D.py <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"06_exact_values_example_1D.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"08_krige_cv.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"09_kriging_meuse.ipynb <span style='color:#111;'> 17.89KB </span>","children":null,"spread":false},{"title":"07_regression_kriging2d.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"00_ordinary.py <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"01_universal.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"03_gstools_covmodel.py <span style='color:#111;'> 843B </span>","children":null,"spread":false}],"spread":false},{"title":"setup.py <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"CHANGELOG.md <span style='color:#111;'> 11.55KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.99KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]
评论信息
其他资源
- 软件测试技术报告-predate前一日问题.
- WumpusWorld.zip
- win10 telnetserver
- ADC0808数模转换电路
- 华为实验手册【100页_40个实验】
- MVC++环境2005-2017全部一键安装包x86 x64
- PI服务器及各客户端安装配置
- ios-swift 实现扫雷.zip
- PostgreSql 9.2.24 windows 64位
- MFC_SaleSystem.zip
- AB 1336IMPACT-AC Driver.pdf
- 加密解密工具.exe
- c# 做成数据库生成 nhibernate映射文件程序，包括oracle 和sql server
- 算法分析考试试卷.rar
- 红外热成像传感器HTPA32X32
- 微软官方非常漂亮的WPF案例源码
- Windows® CE 3.0 Application Programming
- 即时通讯软件完美破解版
- Objective-C苹果官方文档英文文档
- ZEMAX单透镜设计例子详细（多图）
- Bresenham画直线MATLAB实现
- pwm控制马达方法实现调速
- Internet of Things in Industries: A Survey
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明